... How Data & Analytics Leaders Are Shaping Generative AI Initiatives Generative AI is a transformative technology that has a fairly low barrier to adoption and wide applicability. By Data and Analytics Practitioner Research Team With the rise of AI, D&A leaders are assessing or piloting Generative AI ( ...
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... Marketing Data and Analytics|Customer Understanding and Marketing Execution B.A., International Relations, Dartmouth College EPAM Systems|Senior Director, Business Consulting & CIO Advisory|5 Bounteous (The Archer Group)|Director, Marketing Science|5 Benefits Data Trust|Director of DataScience, Analytics ...
... market grew by 11.7% to $21.6 billion in 2018 in current USD. Modern BI platforms continue to be the fastest growing segment at 22.3%, followed by datascience platforms with 19.0% growth. Overview Gartner Recommended Reading Gartner Insights Abstract ...
Analyst(s): Neha Gupta | Alys Woodward | Eric Hunter | Jim Hare
... Healthcare and life science organizations face shifting risk pools, margin erosion, new drug access models, rising cost complexity and innovation pressures in 2026. CIOs must modernize data and analytics as well as expand access paths to meet demand and protect affordability, safety and performance. ...
... Selecting an appropriate strategy for delivering AI initiatives is a critical enabler of AI success. Datascience/ML/AI leaders can use this research to identify the optimal choice of AI delivery methods by aligning various approaches and augmented tools with specific use cases. Overview Introduction ...
Analyst(s): Yogesh Bhatt | Souparna Palit | Scott Clendaniel
... enterprise data and data management practices are capable of supporting agentic AI requirements, including evaluating agents for valid usage of data. Without evaluating whether the data is suitable for agentic AI, organizations risk facing unpredictable outcomes, such as inaccurate responses or data misuse ...
Analyst(s): Mark Beyer | Ehtisham Zaidi | Roxane Edjlali | Adam Ronthal
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Are you interested in joining Gartner’s growing team in Gurgaon, India? Below, Sankaralingam Dushyant, Quantitative Analyst on our datascience team, shares his story of how he joined Gartner just over one year ago and his career advice for others looking to join the team. Having just completed ...
... retrieval-augmented generation systems on business use cases is a challenge due to the many factors that contribute to overall performance. Heads of datascience and AI should enhance RAG systems using emerging techniques that can dramatically increase overall performance. Overview Introduction Analysis ...
... Datascience and AI leaders organize AI delivery within and outside their own function. Resulting complexity can be managed by balancing centralized and decentralized groups with hybrid organization models to offer control, scale, consistency alongside business domain expertise, trust and agility. Overview ...
Analyst(s): Afraz Jaffri | Scott Clendaniel | Raghvender Bhati